- Here is some help on doing the white estimator in JMP.

- All Myers data (unedited)
- VO2 max (ascii, CSV)
- Script: Fitting distributions other than normal
- Script: Evil least squares demo

- Jan 16th: Box plots
- Jan 18th: Centers and transformations (handout for first three lectures)
- Jan 23th: JMP and L and M estimators
- Jan 25th: Regression introduction (Read M:1, M:2.1, 2.2, 2.3)
- Jan 30th: Confidence and prediction intervals. Assumptions. (M:2.9, M:2.12)
- Feb 1st: Checking assumptions
- Feb 6th: Introduction to multiple regression
- Feb 8th: Multiple regression: F-tests
- Feb 13th: Linear tests and colinearity.
- Feb 15th: Residuals. (read M:5)
- Feb 20th: Car data and sandwich estimator.
- Feb 22nd: Influence diagnostics
- Feb 27th: Two samples and other easy regressions
- March 1st: Risk Inflation and other variable selection methods
(pass out papers)
- March 6th: Robust regressions
- March 8th: Poisson regressions
- March 20th: Logistic regression (Y is binary response)
- March 22th: More logistic regression
- March 27th: Even more logistic regression
- March 29th: Design of experiments
- Apr 3rd: Sample size calculations
- Apr 5th: Finding and displaying independence
- Apr 10th: Generalized estimating equations approach to clustering
- Apr 12th: Random effects approach to clustering
- Apr 17th: Randomization (why)
- Apr 19th: Randomization (how)
- Apr 24th: extrapolation and my bankruptcy paper
- Apr 26th: Wrapping up(last day of classes)

Last modified: Tue Apr 24 08:42:55 2001

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